Faculty details

Prof.Ashok Das

Designation: Assistant Professor

Department: Mathematics & Computing

Email: ashokdas[at]iitism[dot]ac[dot]in

Contact Number: 9681442503

Office Number: +91-326-223-5437

Personal Page: Click Here

About Me: Dr. Ashok Das is an Assistant Professor at the Department of Mathematics & Computing, IIT (ISM) Dhanbad, India. Prior to joining this current position, he had worked as a post-doc at the Institut Jean Lamour, Université de Lorraine, France and Bernal Institute, University of Limerick, Ireland. He completed his M.Sc. and PhD in Mathematics from IIT Kharagpur in 2016 and 2022, respectively. He has received the B.Sc. degree from Hooghly Mohsin College, University of Burdwan in 2014. During his life, he had received several recognized national level academic scholarships, including IIT Kharagpur Research fellowship, INSPIRE scholarship, Merit-Cum-Means scholarship.

Research Interest: Dr. Ashok Das's research focuses on the modeling, simulation, and analysis of particulate processes. Particulate matter is present across a wide range of industries, from pharmaceuticals to food processing, and spans an extensive size range—from nanoparticles in advanced materials to large-scale astronomical objects—highlighting its universal significance in both natural and industrial processes. As particles undergo various interaction processes, they exhibit critical changes in properties such as size, volume, shape, and temperature. Accurately controlling and predicting these changes is essential for optimizing process outcomes. Dr. Das and his research team employ advanced mathematical and computational techniques, including Population Balance Modeling (PBM), the Discrete Element Method (DEM), and multiscale modeling, to investigate these phenomena. The goal is to develop state-of-the-art mathematical frameworks and simulation software to enhance the prediction and control of both physical and industrial particulate processes.

Teaching

  • Research Methodology (MCC500): Winter 2024
  • Operating Systems Lab (MCC512): Winter 2024
  • Engineering Mathematics-I (NMCI101): Monsoon 2024
  • Engineering Mathematics-II (NMCI101): Winter 2025
  • Preparatory Mathematics-I (NMCP101): Monsoon 2024

Academics

  • Ph.D (2022): Department of Mathematics, IIT Kharagpur (Thesis: Modeling and Simulation of Particulate Processes Involving Aggregation and Breakage).
  • M.Sc (2016): Department of Mathematics, IIT Kharagpur.
  • B.Sc (2014):  Department of Mathematics, Hooghly Mohsin College, Burdwan University.

 

Position

  • Jan 2024 - to date: Assistant Professor, Department of Mathematics & Computing, IIT (ISM) Dhanbad, India.
  • Aug 2023 - Dec 2023: Post-doctoral Researcher, Bernal Institute, University of Limerick, Ireland.
  • May 2022 - Aug 2023: Post-doctoral Researcher,  Institut Jean Lamour, Université de Lorraine, France.
  • Mar 2019 - Apr 2019: Visiting Researcher, Institute of Solids Process Engineering and Particle Technology, TUHH, Germany (Alexander von Humboldt Group Linkage Research Programme).

Awards and Honors

  • Received Post-doctoral Research Fellowship from LabEX DAMAS (France) and DPTC (Ireland).
  • Silver Medalist (Department Topper) in Master of Science, from IIT Kharagpur, 2016.
  • Cleared CSIR/UGC NET JRF in Dec-2014, Jun-2015, Dec-2015, and Jun-2016.
  • Cleared GATE 2016.
  • Cleared JAM 2014.
  • Recipient of the Institute Research Fellowship by IIT Kharagpur for pursuing Ph.D. (2016-2021).
  • Recipient of the INSPIRE scholarship by DST-INDIA (2011-2016).
  • Recipient of the West Bengal government Merit-cum-means scholarship (2009-2011).

Publications

Books Published

  1. Das, A., & Kumar, J. (2021). Mathematical modeling of different breakage PBE kernels using Monte Carlo simulation results. In Optimization of Pharmaceutical Processes (pp. 79-101). Cham: Springer International Publishing.

List Of Research Publications (only in Peer-reviewed Journals)

  1. Sriwastav, N., Das, A., Shardt, O., Kumar, J., & Singh, M. (2025). A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis. Applied Mathematical Modelling, 116035.
  2. Yadav, N., Ansari, Z., Singh, R., Das, A., Singh, S., Heinrich, S., & Singh, M. (2024). Explicit and approximate solutions for a classical hyperbolic fragmentation equation using a hybrid projected differential transform method. Physics of Fluids36(9).
  3. Das, A., Maharana, A., Kumar, J., & Sarkar, D. (2024). Multivariate population balance modeling and simulation of ultrasound-assisted crystallization of a plate-type pharmaceutical: Nucleation, growth, and breakage. Computers & Chemical Engineering184, 108651.
  4. Yadav, S., Das, A., Singh, S., Tomar, S., Singh, R., & Singh, M. (2024). Coupled approach and its convergence analysis for aggregation and breakage models: Study of extended temporal behaviour. Powder Technology439, 119714.
  5. Maharana, A., Sehrawat, P., Das, A., Kumar, J., & Sarkar, D. (2023). Multi-dimensional population balance modeling of sonocrystallization of pyrazinamide with systematic estimation of kinetic parameters based on uncertainty and sensitivity analyses. Chemical Engineering Research and Design200, 356-373.
  6. De, T., Das, A., Singh, M., & Kumar, J. (2023). Enhancing efficiency in particle aggregation simulations: Coarse-grained particle modeling in the DEM-PBM coupled framework. Computer Methods in Applied Mechanics and Engineering417, 116436.
  7. Das, A., Kroll-Rabotin, J. S., Quatravaux, T., & Bellot, J. P. (2023). Investigating chemical heterogeneity in inclusion populations: A multivariate population balance model study in gas-stirred ladles. Industrial & Engineering Chemistry Research62(48), 20789-20801.
  8. Yadav, N., Das, A., Singh, M., Singh, S., & Kumar, J. (2023). Homotopy perturbation method and its convergence analysis for nonlinear collisional fragmentation equations. Proceedings of the Royal Society A479(2279), 20230567.
  9. De, T., Das, A., & Kumar, J. (2023). On the prediction of particle collision behavior in coarse-grained and resolved systems. Particulate Science and Technology41(8), 1170-1184.
  10. Das, A., Paul, J., Heinrich, S., & Kumar, J. (2023). Development and analysis of moments preserving finite volume schemes for multi-variate nonlinear breakage model. Proceedings of the Royal Society A479(2271), 20220658.
  11. Paul, J., Das, A., & Kumar, J. (2023). Moments preserving finite volume approximations for the non‐linear collisional fragmentation model. Applied Mathematics and Computation436, 127494.
  12. Das, A., De, T., Kaur, G., Dosta, M., Heinrich, S., & Kumar, J. (2022). An efficient multiscale bi-directional PBM-DEM coupling framework to simulate one-dimensional aggregation mechanisms. Proceedings of the Royal Society A478(2261), 20220076.
  13. Das, A., & Kumar, J. (2021). Population balance modeling of volume and time dependent spray fluidized bed aggregation kernel using Monte Carlo simulation results. Applied Mathematical Modelling92, 748-769.
  14. Das, A., Jash, S., Paul, S., Mondal, Y. A., & Das, A. (2021). Optical chirped soliton structures in generalized derivative resonant nonlinear Schrödinger equation and modulational stability analysis. Optik226, 165701.
  15. Das, A., Dutta, S., Sen, M., Saxena, A., Kumar, J., Giri, L., ... & Chakraborty, J. (2021). A detailed model and Monte Carlo simulation for predicting DIP genome length distribution in baculovirus infection of insect cells. Biotechnology and bioengineering118(1), 238-252.
  16. Das, A., Bhoi, S., Sarkar, D., & Kumar, J. (2020). Sonofragmentation of rectangular plate-like crystals: Bivariate population balance modeling and experimental validation. Crystal Growth & Design20(8), 5424-5434.
  17. Das, A., Bück, A., & Kumar, J. (2020). Selection function in breakage processes: PBM and Monte Carlo modeling. Advanced Powder Technology31(4), 1457-1469.
  18. Das, A., Kumar, J., Dosta, M., & Heinrich, S. (2020). On the approximate solution and modeling of the kernel of nonlinear breakage population balance equation. SIAM journal on scientific computing42(6), B1570-B1598.
  19. Bhoi, S., Das, A., Kumar, J., & Sarkar, D. (2019). Sonofragmentation of two-dimensional plate-like crystals: Experiments and Monte Carlo simulations. Chemical Engineering Science203, 12-27.

Projects & Activities

Sponsored Research Projects (External Funded)

  • Title: Dynamic Modeling of Wet Granulation Integrating Multiscale PBM-DEM and Coarse-Graining Approaches to Track Size and Temperature Evolution; Agency: ANRF; Scheme: PM-Early Career Research Grant (Approved).

 

Other Academic and Administrative Activities

  • Warden of Topaz Hostel, IIT(ISM) Dhanbad (01.07.2024 - 30.06.2026).
  • Member of DUGC, Department of Mathematics & Computing, IIT(ISM) Dhanbad (23.09.2024 - 30.06.2026).
  • Mentor for a group of students of BTech Maths & Computing (Oct 2024 onwards).

Guidance

Ongoing Ph.D Students:

  1. Sourav Kumar Ghosh
  2. Anindita Sarkar